Generalized blockmodeling of binary networks

Generalized blockmodeling of binary networks (also relational blockmodeling) is an approach of generalized blockmodeling, analysing the binary network(s).[1]

As most network analyses deal with binary networks, this approach is also considered as the fundamental approach of blockmodeling.[2]: 11  This is especially noted, as the set of ideal blocks, when used for interpretation of blockmodels, have binary link patterns, which precludes them to be compared with valued empirical blocks.[3]

When analysing the binary networks, the criterion function is measuring block inconsistencies, while also reporting the possible errors.[1] The ideal block in binary blockmodeling has only three types of conditions: "a certain cell must be (at least) 1, a certain cell must be 0 and the over each row (or column) must be at least 1".[1]

It is also used as a basis for developing the generalized blockmodeling of valued networks.[1]

References
  1. Žiberna, Aleš (2007). "Generalized Blockmodeling of Valued Networks". Social Networks. 29: 105–126. doi:10.1016/j.socnet.2006.04.002.
  2. Doreian, Patrick; Batagelj, Vladimir; Ferligoj, Anuška (2005). Generalized Blackmodeling. Cambridge University Press. ISBN 0-521-84085-6.
  3. Nordlund, Carl (2016). "A deviational approach to blockmodeling of valued networks". Social Networks. 44: 160–178. doi:10.1016/j.socnet.2015.08.004.

See also
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